(Proceedings of ModelCARE’ 2005, The Hague, The Netherlands, June 2005, IAHS Publication 304, pp. 59).
Several one-dimensional models were fitted to a tracer breakthrough curve measured at a karst spring. The models were compared and ranked using an information theory approach that considers the principle of parsimony. The tracer breakthrough could be most adequately reproduced by including a fraction of mobile water and some nonequilibrium process. It was found that the number of observations clearly affect the model ranking.
AIC, Information theory, Model calibration, Model selection, Tracer test
